Michael Goldstein

115 papers and 2.4k indexed citations i.

About

Michael Goldstein is a scholar working on Artificial Intelligence, Statistics and Probability and Statistics, Probability and Uncertainty. According to data from OpenAlex, Michael Goldstein has authored 115 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 31 papers in Statistics and Probability and 30 papers in Statistics, Probability and Uncertainty. Recurrent topics in Michael Goldstein’s work include Advanced Statistical Methods and Models (18 papers), Probabilistic and Robust Engineering Design (16 papers) and Bayesian Modeling and Causal Inference (14 papers). Michael Goldstein is often cited by papers focused on Advanced Statistical Methods and Models (18 papers), Probabilistic and Robust Engineering Design (16 papers) and Bayesian Modeling and Causal Inference (14 papers). Michael Goldstein collaborates with scholars based in United Kingdom, United States and Uganda. Michael Goldstein's co-authors include J Rougier, Ian Vernon, R. G. Bower, C. Howson, Peter Urbach, David Wooff, Allan Seheult, Peter Craig, A. F. M. Smith and Daniel Williamson and has published in prestigious journals such as Journal of the American Statistical Association, PLoS ONE and Technometrics.

In The Last Decade

Co-authorship network of co-authors of Michael Goldstein i

Fields of papers citing papers by Michael Goldstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Goldstein. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael Goldstein. The network helps show where Michael Goldstein may publish in the future.

Countries citing papers authored by Michael Goldstein

Since Specialization
Citations

This map shows the geographic impact of Michael Goldstein's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael Goldstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Goldstein more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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